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Aliment Pharmacol Ther ; 54(4): 470-480, 2021 08.
Article in English | MEDLINE | ID: mdl-34152626

ABSTRACT

BACKGROUND: Recently, Papatheodoridi et al proposed to refine the Baveno VI elastography dual-cutoffs and introduce an algorithm for the detection of compensated advanced chronic liver disease (cACLD) in asymptomatic European patients with chronic liver diseases. AIMS: To validate the performance of the dual-cutoffs (8/12 kPa) and the proposed algorithm to identify patients with cACLD in three well-characterised Asian nonalcoholic fatty liver disease (NAFLD) cohorts. METHODS: We included 830 patients with biopsy-proven NAFLD. Liver stiffness was measured using transient elastography (FibroScan). RESULTS: cACLD was found in 21.8% of patients. Compared with the original Baveno VI elastography criteria (10/15 kPa), the new cutoffs showed a comparable specificity and a higher sensitivity for identifying cACLD. We developed a simplified risk model incorporating age, liver stiffness value, and platelet count, which outperformed liver stiffness measurement alone in two Chinese cohorts (P = 0.001), and was further validated in a Malaysian cohort (P = 0.04). Overall, the "two-step" screening of cACLD improved classification rates from 73.5% by the original dual-cutoffs to 86.7%. Notably, usage of our simplified risk model resulted in significantly lower false-negative rate than the refined screening approach by Papatheodoridi et al (27.1% vs 41.4%; P = 0.01). CONCLUSIONS: The dual elastography cutoffs of 8 and 12 kPa are more appropriate to identify cACLD in Asian patients with NAFLD. In combination with a simplified risk model in unclassified patients, the two-step approach showed a classification rate of about 85%.


Subject(s)
Elasticity Imaging Techniques , Esophageal and Gastric Varices , Non-alcoholic Fatty Liver Disease , Humans , Liver/pathology , Liver Cirrhosis/diagnostic imaging , Liver Cirrhosis/pathology , Non-alcoholic Fatty Liver Disease/diagnosis , Non-alcoholic Fatty Liver Disease/diagnostic imaging , Platelet Count
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